Upload 4 files

Scripts/mainpaperspacev1.py

@@ -790,8 +790,6 @@ def testui(Custom_Path, Previous_Session_Name, Session_Name, User, Password):
     os.chdir('/notebooks')
     clear_output()
       
-    if not os.path.exists('/usr/lib/node_modules/localtunnel'):
-       call('npm install -g localtunnel  --silent', shell=True, stdout=open('/dev/null', 'w'))
     
     call('wget -q -O /usr/local/lib/python3.9/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True)
     

Scripts/mainpaperspacev2.py

@@ -838,8 +838,6 @@ def testui(Custom_Path, Previous_Session_Name, Session_Name, User, Password):
     os.chdir('/notebooks')
     clear_output()
       
-    if not os.path.exists('/usr/lib/node_modules/localtunnel'):
-       call('npm install -g localtunnel  --silent', shell=True, stdout=open('/dev/null', 'w'))
     
     call('wget -q -O /usr/local/lib/python3.9/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True)
     

Scripts/sdxllorapps.py

@@ -113,33 +113,6 @@ def ntbk():
             
 
 
-def dwn2(url, dst, msg, auth):
-    
-    if auth!="":
-        credentials = base64.b64encode(f"USER:{auth}".encode('utf-8')).decode('utf-8')
-        req = Request(url, headers={"User-Agent": "torch.hub", 'Authorization': f'Basic {credentials}'})
-    
-    file_size = None
-    u = urlopen(req)
-    meta = u.info()
-    if hasattr(meta, 'getheaders'):
-        content_length = meta.getheaders("Content-Length")
-    else:
-        content_length = meta.get_all("Content-Length")
-    if content_length is not None and len(content_length) > 0:
-        file_size = int(content_length[0])
-
-    with tqdm(total=file_size, disable=False, mininterval=0.5,
-              bar_format=msg+' |{bar:20}| {percentage:3.0f}%') as pbar:
-        with open(dst, "wb") as f:
-            while True:
-                buffer = u.read(8192)
-                if len(buffer) == 0:
-                    break
-                f.write(buffer)
-                pbar.update(len(buffer))
-            f.close()           
-
 
 def ntbks():
 
@@ -166,11 +139,11 @@ def done():
 
 
 
-def mdlvxl(Huggingface_token):
+def mdlvxl():
 
   os.chdir('/notebooks')
 
-  if os.path.exists('stable-diffusion-XL') and not os.path.exists('/notebooks/stable-diffusion-XL/unet/diffusion_pytorch_model.bin'):
+  if os.path.exists('stable-diffusion-XL') and not os.path.exists('/notebooks/stable-diffusion-XL/unet/diffusion_pytorch_model.safetensors'):
      call('rm -r stable-diffusion-XL', shell=True)
   if not os.path.exists('stable-diffusion-XL'):
       print('Downlading SDXL model...')
@@ -178,21 +151,21 @@ def mdlvxl(Huggingface_token):
       os.chdir('stable-diffusion-XL')
       call('git init', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
       call('git lfs install --system --skip-repo', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
-      call('git remote add -f origin  https://USER:'+Huggingface_token+'@huggingface.co/stabilityai/stable-diffusion-xl-base-0.9', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
+      call('git remote add -f origin  https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
       call('git config core.sparsecheckout true', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
       call('echo -e "\nscheduler\ntext_encoder\ntext_encoder_2\ntokenizer\ntokenizer_2\nunet\nvae\nfeature_extractor\nmodel_index.json\n!*.safetensors\n!diffusion_pytorch_model.bin\n!pytorch_model.bin\n!*.fp16.bin" > .git/info/sparse-checkout', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
       call('git pull origin main', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
-      dwn2('https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/resolve/main/text_encoder/pytorch_model.bin', 'text_encoder/pytorch_model.bin', '1/4', Huggingface_token)
-      dwn2('https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/resolve/main/text_encoder_2/pytorch_model.bin', 'text_encoder_2/pytorch_model.bin', '2/4', Huggingface_token)
-      dwn2('https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/resolve/main/vae/diffusion_pytorch_model.bin', 'vae/diffusion_pytorch_model.bin', '3/4', Huggingface_token)
-      dwn2('https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/resolve/main/unet/diffusion_pytorch_model.bin', 'unet/diffusion_pytorch_model.bin', '4/4', Huggingface_token)  
+      dwn('https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/text_encoder/model.safetensors', 'text_encoder/model.safetensors', '1/4')
+      dwn('https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/text_encoder_2/model.safetensors', 'text_encoder_2/model.safetensors', '2/4')
+      dwn('https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/vae/diffusion_pytorch_model.safetensors', 'vae/diffusion_pytorch_model.safetensors', '3/4')
+      dwn('https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/unet/diffusion_pytorch_model.safetensors', 'unet/diffusion_pytorch_model.safetensors', '4/4')  
       call('rm -r .git', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
       os.chdir('/notebooks')
       clear_output()
-      while not os.path.exists('/notebooks/stable-diffusion-XL/unet/diffusion_pytorch_model.bin'):
+      while not os.path.exists('/notebooks/stable-diffusion-XL/unet/diffusion_pytorch_model.safetensors'):
             print('Invalid HF token, make sure you have access to the model')
             time.sleep(8)
-      if os.path.exists('/notebooks/stable-diffusion-XL/unet/diffusion_pytorch_model.bin'):
+      if os.path.exists('/notebooks/stable-diffusion-XL/unet/diffusion_pytorch_model.safetensors'):
           print('Using SDXL model')
   else:
     print('Using SDXL model')
@@ -222,19 +195,19 @@ def downloadmodel_hfxl(Path_to_HuggingFace):
   call("git config core.sparsecheckout true", shell=True)
   call('echo -e "\nscheduler\ntext_encoder\ntokenizer\nunet\nvae\nfeature_extractor\nmodel_index.json\n!*.safetensors\n!*.fp16.bin" > .git/info/sparse-checkout', shell=True)
   call("git pull origin main", shell=True)
-  if os.path.exists('unet/diffusion_pytorch_model.bin'):
+  if os.path.exists('unet/diffusion_pytorch_model.safetensors'):
     call("rm -r .git", shell=True)
     os.chdir('/notebooks')
     clear_output()
     done()
-  while not os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+  while not os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.safetensors'):
         print('Check the link you provided')
         os.chdir('/notebooks')
         time.sleep(5)
   
         
 
-def downloadmodel_link_xl(MODEL_LINK, Huggingface_token): 
+def downloadmodel_link_xl(MODEL_LINK): 
 
     import wget
     import gdown
@@ -285,7 +258,7 @@ def downloadmodel_link_xl(MODEL_LINK, Huggingface_token):
 
     os.chdir('/notebooks')
     if src=='huggingface':
-        dwn2(MODEL_LINK, modelname,'Downloading the Model', Huggingface_token)
+        dwn(MODEL_LINK, modelname,'Downloading the Model')
     else:
         call("gdown --fuzzy " +MODEL_LINK+ " -O "+modelname, shell=True)
     
@@ -338,7 +311,7 @@ def downloadmodel_path_xl(MODEL_PATH):
 
 
 
-def dls_xl(Huggingface_token, Path_to_HuggingFace, MODEL_PATH, MODEL_LINK):
+def dls_xl(Path_to_HuggingFace, MODEL_PATH, MODEL_LINK):
 
     os.chdir('/notebooks')
     
@@ -353,22 +326,17 @@ def dls_xl(Huggingface_token, Path_to_HuggingFace, MODEL_PATH, MODEL_LINK):
 
     elif MODEL_LINK !="":
 
-      downloadmodel_link_xl(MODEL_LINK, Huggingface_token)
+      downloadmodel_link_xl(MODEL_LINK)
       MODEL_NAMExl="/notebooks/stable-diffusion-custom"
 
     else:
-        if not os.path.exists('stable-diffusion-XL/unet/diffusion_pytorch_model.bin'):
-            if Huggingface_token=="":
-                Huggingface_token=input('Your Huggingface Token: ')
-            mdlvxl(Huggingface_token)
-            MODEL_NAMExl="/notebooks/stable-diffusion-XL"
-        else:
-            mdlvxl('')
-            MODEL_NAMExl="/notebooks/stable-diffusion-XL"
+        mdlvxl()
+        MODEL_NAMExl="/notebooks/stable-diffusion-XL"
 
     return MODEL_NAMExl
 
 
+
 def sess_xl(Session_Name, MODEL_NAMExl):
     import gdown
     import wget
@@ -623,7 +591,7 @@ def dbtrainxl(Resume_Training, UNet_Training_Epochs, UNet_Learning_Rate, dim, Of
       call('rm -r '+CAPTIONS_DIR+'/.ipynb_checkpoints', shell=True)
 
 
-    while not Resume_Training and not os.path.exists(MODEL_NAME+'/unet/diffusion_pytorch_model.bin'):
+    while not Resume_Training and not os.path.exists(MODEL_NAME+'/unet/diffusion_pytorch_model.safetensors'):
         print('No model found, use the "Model Download" cell to download a model.')
         time.sleep(5) 
 
@@ -696,7 +664,7 @@ def dbtrainxl(Resume_Training, UNet_Training_Epochs, UNet_Learning_Rate, dim, Of
 
 
 
-def sdcmf(MDLPTH, Download_SDXL_Model, Huggingface_token):
+def sdcmf(MDLPTH, Download_SDXL_Model):
 
     from slugify import slugify
     from huggingface_hub import HfApi, CommitOperationAdd, create_repo
@@ -714,24 +682,20 @@ def sdcmf(MDLPTH, Download_SDXL_Model, Huggingface_token):
     call('git pull', shell=True)
 
     if os.path.exists(MDLPTH):
-        call('cp '+MDLPTH+' models/loras', shell=True)
+        call('ln -s '+MDLPTH+' models/loras', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
         
-    if Download_SDXL_Model and not os.path.exists('models/checkpoints/sd_xl_base_0.9.safetensors'):
-        if Huggingface_token=="":
-            Huggingface_token=input('Your Huggingface Token: ')
-
-        mdllnk= 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/resolve/main/sd_xl_base_0.9.safetensors'
-        try:
-            creds = base64.b64encode(f"USER:{Huggingface_token}".encode('utf-8')).decode('utf-8')
-            req=urllib.request.Request(mdllnk)
-            req.add_header('Authorization', f'Basic {creds}')
-            urllib.request.urlopen(req)
-            dwn2(mdllnk, 'models/checkpoints/sd_xl_base_0.9.safetensors','Downloading the Model', Huggingface_token)
-        except urllib.error.HTTPError as e:
-              print('The token provided has no access to the model, skipping model download...')
-    else:
+    if Download_SDXL_Model and not os.path.exists('/notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors'):
+        mdllnk= 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'
+        dwn(mdllnk, '/notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors','Downloading the Model')
+        if not os.path.exists('models/checkpoints/sd_xl_base_1.0.safetensors'):
+            call('ln -s /notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors models/checkpoints', shell=True)
+
+    elif Download_SDXL_Model and os.path.exists('/notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors'):
+        if not os.path.exists('models/checkpoints/sd_xl_base_1.0.safetensors'):
+            call('ln -s /notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors models/checkpoints', shell=True)
         print('Model already exists, skipping download...')
 
+
     localurl="https://tensorboard-"+os.environ.get('PAPERSPACE_FQDN')
     call("sed -i 's@print(\"To see the GUI go to: http://{}:{}\".format(address, port))@print(\"\u2714 Connected\")\\n            print(\""+localurl+"\")@' /notebooks/ComfyUI/server.py", shell=True)
     os.chdir('/notebooks')
@@ -739,6 +703,82 @@ def sdcmf(MDLPTH, Download_SDXL_Model, Huggingface_token):
 
 
 
+def test(MDLPTH, User, Password, Download_SDXL_Model):
+
+         
+    auth=f"--gradio-auth {User}:{Password}"
+    if User =="" or Password=="":
+      auth=""
+
+    os.chdir('/notebooks')
+    if not os.path.exists('/notebooks/sd/stablediffusiond'): #reset later
+       call('wget -q -O sd_mrep.tar.zst https://huggingface.co/TheLastBen/dependencies/resolve/main/sd_mrep.tar.zst', shell=True)
+       call('tar --zstd -xf sd_mrep.tar.zst', shell=True)
+       call('rm sd_mrep.tar.zst', shell=True)        
+        
+    os.chdir('/notebooks/sd')
+    if not os.path.exists('stable-diffusion-webui'):
+        call('git clone -q --depth 1 --branch master https://github.com/AUTOMATIC1111/stable-diffusion-webui', shell=True)
+    
+    os.chdir('/notebooks/sd/stable-diffusion-webui/')
+    call('git reset --hard', shell=True, stdout=open('/dev/null', 'w'))
+    print('')
+    call('git checkout master', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
+    call('git pull', shell=True, stdout=open('/dev/null', 'w'))
+    os.chdir('/notebooks')
+    clear_output()
+
+
+    if os.path.exists(MDLPTH):
+        call('mkdir models/Lora', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
+        call('ln -s '+MDLPTH+' models/Lora', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
+        
+    if Download_SDXL_Model and not os.path.exists('/notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors'):
+        mdllnk= 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'
+        dwn(mdllnk, '/notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors','Downloading the Model')
+        if not os.path.exists('models/Stable-diffusion/sd_xl_base_1.0.safetensors'):
+            call('ln -s /notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors models/Stable-diffusion', shell=True)
+
+    elif Download_SDXL_Model and os.path.exists('/notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors'):
+        if not os.path.exists('models/Stable-diffusion/sd_xl_base_1.0.safetensors'):
+            call('ln -s /notebooks/Fast-Dreambooth/sd_xl_base_1.0.safetensors models/Stable-diffusion', shell=True)
+        print('Model already exists, skipping download...')        
+    
+    call('wget -q -O /usr/local/lib/python3.9/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True)
+    
+    localurl="tensorboard-"+os.environ.get('PAPERSPACE_FQDN')
+    
+    for line in fileinput.input('/usr/local/lib/python3.9/dist-packages/gradio/blocks.py', inplace=True):
+      if line.strip().startswith('self.server_name ='):
+          line = f'            self.server_name = "{localurl}"\n'
+      if line.strip().startswith('self.protocol = "https"'):
+          line = '            self.protocol = "https"\n'
+      if line.strip().startswith('if self.local_url.startswith("https") or self.is_colab'):
+          line = ''
+      if line.strip().startswith('else "http"'):
+          line = ''
+      sys.stdout.write(line)
+
+
+    os.chdir('/notebooks/sd/stable-diffusion-webui/modules')
+    
+    call("sed -i 's@possible_sd_paths =.*@possible_sd_paths = [\"/notebooks/sd/stablediffusion\"]@' /notebooks/sd/stable-diffusion-webui/modules/paths.py", shell=True)
+    call("sed -i 's@\.\.\/@src/@g' /notebooks/sd/stable-diffusion-webui/modules/paths.py", shell=True)
+    call("sed -i 's@src\/generative-models@generative-models@g' /notebooks/sd/stable-diffusion-webui/modules/paths.py", shell=True)
+    
+    call("sed -i 's@-> Network | None@@g' /notebooks/sd/stable-diffusion-webui/extensions-builtin/Lora/network.py", shell=True)
+    call("sed -i 's@from scipy.ndimage.filters@from scipy.ndimage@g' /usr/local/lib/python3.9/dist-packages/basicsr/metrics/niqe.py", shell=True)
+    
+    call("sed -i 's@\"quicksettings\": OptionInfo(.*@\"quicksettings\": OptionInfo(\"sd_model_checkpoint,  sd_vae, CLIP_stop_at_last_layers, inpainting_mask_weight, initial_noise_multiplier\", \"Quicksettings list\"),@' /notebooks/sd/stable-diffusion-webui/modules/shared.py", shell=True)
+    os.chdir('/notebooks/sd/stable-diffusion-webui')
+    clear_output()
+
+    configf="--disable-console-progressbars --no-gradio-queue --upcast-sampling --no-half-vae --disable-safe-unpickle --api --no-download-sd-model --xformers --enable-insecure-extension-access --port 6006 --listen --skip-version-check "+auth
+    
+    return configf
+
+
+
 
 def clean():